SampleData.ipynb

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      "source": "import pandas as pd\nimport numpy as np\nimport seaborn as sns\nimport os, sys, re, time, random\nimport matplotlib.pyplot as plt\n\nraw_data = {'g': random.sample(range(1,100),5), 'r': random.sample(range(1,100),5),'b': random.sample(range(1,100),5)}\ndf = pd.DataFrame(raw_data)\n\ndf.head()",
      "execution_count": 1,
      "outputs": [
        {
          "data": {
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>b</th>\n      <th>g</th>\n      <th>r</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>70</td>\n      <td>78</td>\n      <td>22</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>35</td>\n      <td>83</td>\n      <td>97</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>85</td>\n      <td>40</td>\n      <td>93</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>14</td>\n      <td>91</td>\n      <td>83</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>87</td>\n      <td>24</td>\n      <td>38</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "    b   g   r\n0  70  78  22\n1  35  83  97\n2  85  40  93\n3  14  91  83\n4  87  24  38"
          },
          "execution_count": 1,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    }
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      "language": "python"
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      "version": "3.6.4",
      "mimetype": "text/x-python",
      "codemirror_mode": {
        "name": "ipython",
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      "nbconvert_exporter": "python",
      "file_extension": ".py"
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    "_draft": {
      "nbviewer_url": "https://gist.github.com/25c499c2f4775d44086e87b62afe590c"
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  "nbformat": 4,
  "nbformat_minor": 2
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